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12:39 Video length is 12:39.
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Model-Based Design for Predictive Maintenance, Part 3: Training a Machine Learning Model

From the series: Model-Based Design for Predictive Maintenance

After you have extracted features from your data, you can use them to train a classification model. You’ll use the model to see whether you’ll have electrical or mechanical failures in your system when new data is measured. The video shows how the Classification Learner app makes it easy to train and validate your condition monitoring algorithm.

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Up Next:

Learn how to automatically generate code from your machine learning model and test it on real-time hardware (e.g., on a B&R PLC).
13:39
Part 4: Code Generation and Real-Time Testing
View full series (7 Videos)

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